diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..aa184f41 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,271 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1\n",
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "print(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#2\n",
+    "inventory={ }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 4\n",
+      "enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 5\n",
+      "enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 6\n",
+      "enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 7\n",
+      "enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 3\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "current inventory is: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "#3 option 1\n",
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory={ }\n",
+    "for product in products: #iteration - loop\n",
+    " qty = int(input(f\"enter the qty of each {products}\"))\n",
+    "print('current inventory is:',qty)\n",
+    "\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt:4\n",
+      "mug:5\n",
+      "hat:6\n",
+      "book:7\n",
+      "keychain:3\n"
+     ]
+    }
+   ],
+   "source": [
+    "#3 option 2\n",
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory={\"t-shirt\":4, \"mug\":5, \"hat\":6, \"book\":7, \"keychain\":3}\n",
+    "for product, qty in inventory.items(): \n",
+    " print(f\"{product}:{qty}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#4\n",
+    "customer_orders = ()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "enter 3 products from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n",
+      "enter 3 products from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] book\n",
+      "enter 3 products from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "the customer orders are:,{'mug', 'book', 'hat'}\n",
+      "{'mug', 'book', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#5\n",
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "customer_orders = set() #empty set to be populated\n",
+    "for i in range(3): \n",
+    "    product_to_order = input(f'enter 3 products from {products}')\n",
+    "    if product_to_order in products:\n",
+    "     customer_orders.add(product_to_order)\n",
+    "    else:\n",
+    "     print(f'invalid')\n",
+    "print(f\"the customer orders are:,{customer_orders}\")\n",
+    "print(customer_orders)\n",
+    "                             \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'mug', 'book', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#6\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n",
+      "60.0\n",
+      "order_status is: (60.0, 3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#7\n",
+    "customer_order = {'mug', 'book', 'hat'}\n",
+    "total_products_order = len(customer_order)\n",
+    "print(total_products_order)\n",
+    "percentage_of_products_ordered= len(customer_order) /len(products)*100\n",
+    "print(percentage_of_products_ordered)\n",
+    "order_status = (percentage_of_products_ordered, total_products_order)\n",
+    "print('order_status is:', order_status)\n",
+    "\n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n",
+      "60.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "#8\n",
+    "print(total_products_order)\n",
+    "print(percentage_of_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "the updated inventory is: {'t-shirt': 3, 'mug': 4, 'hat': 5, 'book': 6, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#9\n",
+    "inventory={\"t-shirt\":4, \"mug\":5, \"hat\":6, \"book\":7, \"keychain\":3}\n",
+    "for product in inventory:\n",
+    "    inventory[product] -=1\n",
+    "print(f'the updated inventory is:',inventory)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt:3\n",
+      "mug:4\n",
+      "hat:5\n",
+      "book:6\n",
+      "keychain:2\n"
+     ]
+    }
+   ],
+   "source": [
+    "#10\n",
+    "for product, qty in inventory.items():\n",
+    " print(f\"{product}:{qty}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -68,7 +326,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,